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多发性骨髓瘤及其前驱疾病的基因组格局。

Genomic landscape of multiple myeloma and its precursor conditions.

作者信息

Alberge Jean-Baptiste, Dutta Ankit K, Poletti Andrea, Coorens Tim H H, Lightbody Elizabeth D, Toenges Rosa, Loinaz Xavi, Wallin Sofia, Dunford Andrew, Priebe Oliver, Dagan Johnathan, Boehner Cody J, Horowitz Erica, Su Nang K, Barr Hadley, Hevenor Laura, Towle Katherine, Beesam Rashmika, Beckwith Jenna B, Perry Jacqueline, Cordas Dos Santos David M, Bertamini Luca, Greipp Patricia T, Kübler Kirsten, Arndt Peter F, Terragna Carolina, Zamagni Elena, Boyle Eileen M, Yong Kwee, Morgan Gareth, Walker Brian A, Dimopoulos Meletios Athanasios, Kastritis Efstathios, Hess Julian, Sklavenitis-Pistofidis Romanos, Stewart Chip, Getz Gad, Ghobrial Irene M

机构信息

Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.

Department of Medicine, Harvard Medical School, Boston, MA, USA.

出版信息

Nat Genet. 2025 May 21. doi: 10.1038/s41588-025-02196-0.

DOI:10.1038/s41588-025-02196-0
PMID:40399554
Abstract

Reliable strategies to capture patients at risk of progression from precursor stages of multiple myeloma (MM) to overt disease are still missing. We assembled a comprehensive collection of MM genomic data comprising 1,030 patients (218 with precursor conditions) that we used to identify recurrent coding and non-coding candidate drivers as well as significant hotspots of structural variation. We used those drivers to define and validate a simple 'MM-like' score, which we could use to place patients' tumors on a gradual axis of progression toward active disease. Our MM precursor genomic map provides insights into the time of initiation and cell-of-origin of the disease, order of acquisition of genomic alterations and mutational processes found across the stages of transformation. Taken together, we highlight here the potential of genome sequencing to better inform risk assessment and monitoring of MM precursor conditions.

摘要

目前仍缺乏可靠的策略来识别处于从多发性骨髓瘤(MM)前驱阶段进展为显性疾病风险中的患者。我们收集了一个全面的MM基因组数据集,包括1030名患者(218名处于前驱状态),用于识别反复出现的编码和非编码候选驱动基因以及结构变异的重要热点区域。我们利用这些驱动基因定义并验证了一个简单的“MM样”评分,可用于将患者的肿瘤置于向活动性疾病进展的渐进轴上。我们的MM前驱基因组图谱为疾病的起始时间、起源细胞、基因组改变的获得顺序以及在转化各阶段发现的突变过程提供了见解。总之,我们在此强调基因组测序在更好地指导MM前驱状态的风险评估和监测方面的潜力。

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Deeper response predicts better outcomes in high-risk-smoldering-myeloma: results of the I-PRISM phase II clinical trial.深度反应预示高危冒烟型骨髓瘤患者预后更佳:I-PRISM II期临床试验结果
Nat Commun. 2025 Jan 3;16(1):358. doi: 10.1038/s41467-024-55308-5.
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New horizons in our understanding of precursor multiple myeloma and early interception.在理解前驱性多发性骨髓瘤和早期干预方面的新进展。
Nat Rev Cancer. 2024 Dec;24(12):867-886. doi: 10.1038/s41568-024-00755-x. Epub 2024 Oct 16.
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Comprehensive molecular profiling of multiple myeloma identifies refined copy number and expression subtypes.
全面的多发性骨髓瘤分子谱分析确定了精细的拷贝数和表达亚型。
Nat Genet. 2024 Sep;56(9):1878-1889. doi: 10.1038/s41588-024-01853-0. Epub 2024 Aug 19.
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A systematic review and meta-analysis of nonrelapse mortality after CAR T cell therapy.嵌合抗原受体 T 细胞治疗后非复发死亡率的系统评价和荟萃分析。
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Genomic Profiling to Contextualize the Results of Intervention for Smoldering Multiple Myeloma.对冒烟型多发性骨髓瘤干预结果进行基因组分析。
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